Shock detection of rotating machinery based on activated time-domain images and deep learning: An application to railway wheel flat detection

Author:

Ye Yunguang,Huang Caihong,Zeng Jing,Zhou Yichang,Li Fansong

Publisher

Elsevier BV

Reference55 articles.

1. R. Liu, B. Yang, E. Zio, X. Chen, Artificial Intelligence for fault diagnosis of rotating machinery: A Review, Mechanical Systems and Signal Processing. 108 (2018) 33–47. doi:10.1016/j.ymssp.2018.02.016.

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3. Adaptive stochastic resonance method for impact signal detection based on sliding window;Li;Mech. Syst. Sig. Process.,2013

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5. Optimization procedure for the impact detection thresholds in an accelerometer smart sensor;Naranjo,2009

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